Traditionally, public opinion on different issues of public debate has been studied through
polls and surveys. Recent advancements in network ideological scaling methods, however …

Ideological scaling is an ubiquitous tool for inferring political opinions of users in social
networks, allowing to position a large number of users in left-right or liberal-conservative …

A growing literature on ideology estimation through scaling methods in social networks
restricts the scaling procedure to nodes that provide interpretability of the resulting feature …

Ideological scaling methods have shown that behavioral traces in social platforms can be
used to mine opinions at a massive scale. Current methods exploit one-dimensional left …

The increasing polarization of online political discourse calls for computational tools that
automatically detect and monitor ideological divides in social media. We introduce a …

Social media and social networks contribute to shape the debate on societal and policy
issues, but the dynamics of this process is not well understood. As a case study, we monitor …

How are the sentiment and stance of online users affected by real-world events? Previous
studies have ignored the role of events in co-determining sentiment and stance and hence …

As online social networks have become dominant platforms for public discourse worldwide,
there is growing anecdotal evidence of a concurrent rise in social antagonisms. Yet, while …

The networked opinion diffusion in online social networks (OSN) is governed by the two
genres of opinions-endogenous opinions that are driven by the influence of social contacts …

Social networks represent a common form of interconnected data frequently depicted as
graphs within the domain of deep learning-based inference. These communities inherently …